The use of EEG modifications due to motor imagery for brain-computer interfaces

Author

Cincotti, Febo ; Mattia, Donatella ; Babiloni, Claudio ; Carducci, Filippo ; Salinari, Serenella ; Bianchi, Luigi ; Marciani, Maria Grazia ; Babiloni, Fabio

Author_Institution

Lab. di Neurofisiopatologia, Fondazione Santa Lucia, Rome, Italy

Volume

11

Issue

2

fYear

2003

fDate

6/1/2003 12:00:00 AM

Firstpage

131

Lastpage

133

Abstract

The opening of a communication channel between brain and computer [brain-computer interface (BCI)] is possible by using changes in electroencephalogram (EEG) power spectra related to the imagination of movements. In this paper, we present results obtained by recording EEG during an upper limb motor imagery task in a total of 18 subjects by using low-resolution surface Laplacian, different linear and quadratic classifiers, as well as a variable number of scalp electrodes, from 2 to 26. The results (variable correct classification rate of mental imagery between 75% and 95%) suggest that it is possible to recognize quite reliably ongoing mental movement imagery for BCI applications.

Keywords

biomechanics; electroencephalography; handicapped aids; medical signal processing; spectral analysis; EEG power spectra; brain-computer interface; event-related desynchronizations; high-resolution electroencephalogram; linear classifiers; low-resolution surface Laplacian; motor imagery; movements imagination; ongoing mental movement imagery; quadratic classifiers; scalp electrodes; upper limb motor imagery task; Brain computer interfaces; Communication channels; Computer interfaces; Electrodes; Electroencephalography; Fingers; Frequency; Image recognition; Laplace equations; Scalp; Algorithms; Brain; Electroencephalography; Evoked Potentials; Evoked Potentials, Motor; Fingers; Humans; Imagination; Movement; Thinking; User-Computer Interface;

fLanguage

English

Journal_Title

Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Publisher

ieee

ISSN

1534-4320

Type

jour

DOI

10.1109/TNSRE.2003.814455

Filename

1214701